Daoxia Guo
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Yonghong Zhang (69 shared papers)Mengyao Shi (55 shared papers)Xiaoyuan Ji (10 shared papers)Pinni Yang (37 shared papers)Tan Xu (45 shared papers)Jiang He (45 shared papers)Chongke Zhong (37 shared papers)Yiming Jia (33 shared papers)
- Journals
- Journal of the American Heart Association (9 papers)Stroke (9 papers)Nutrition Metabolism and Cardiovascular Diseases (8 papers)Atherosclerosis (7 papers)Cerebral Cortex (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Daoxia Guo
125 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Neurology 100
- Cancer Research 111
- Immunology 136
- Biomaterials 86
- Molecular Biology 361
Countries citing papers authored by Daoxia Guo
This map shows the geographic impact of Daoxia Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daoxia Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoxia Guo more than expected).
Fields of papers citing papers by Daoxia Guo
This network shows the impact of papers produced by Daoxia Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daoxia Guo. The network helps show where Daoxia Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoxia Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2023 | 53 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 41 | |
| 5 | 2022 | 40 | |
| 6 | 2022 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2022 | 35 | |
| 9 | Prevalence and risk factors of anxiety status among students aged 13-26 years. | 2014 | 34 |
| 10 | 2021 | 33 | |
| 11 | 2002 | 31 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2023 | 30 | |
| 16 | 2019 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2023 | 24 | |
| 20 | 2014 | 23 |
About Daoxia Guo
Daoxia Guo is a scholar working on Rheumatology, Molecular Biology, Immunology, Epidemiology and Cellular and Molecular Neuroscience, having authored 131 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (8 papers), Nanoplatforms for cancer theranostics (7 papers), Genetic Associations and Epidemiology (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Nerve injury and regeneration (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Liver physiology and pathology (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Neurology (100 citations), Cancer Research (111 citations), Immunology (136 citations), Biomaterials (86 citations) and Molecular Biology (361 citations). Daoxia Guo has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yonghong Zhang, Mengyao Shi, Xiaoyuan Ji, Pinni Yang, Tan Xu, Jiang He, Chongke Zhong, Yiming Jia, Lulu Sun and Yao He. Their work appears in journals such as Journal of the American Heart Association, Stroke, Nutrition Metabolism and Cardiovascular Diseases, Atherosclerosis and Cerebral Cortex.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.